Abstract
A useful aerosol model must be able to adequately resolve the chemical complexity and phase state of the wide particle size range arising from the many different secondary aerosol growth processes to assess their environmental and health impacts. Over the past two decades, significant advances in understanding of gas-aerosol partitioning have occurred, particularly with respect to the role of organic compounds, yet aerosol representations have changed little in air quality and climate models since the late 1990s and early 2000s. The gas-aerosol partitioning models which are still commonly used in air quality models are separate inorganics-only thermodynamics and secondary organic aerosol (SOA) formation based on absorptive partitioning theory with an assumption of well-mixed liquid-like particles that continuously maintain equilibrium with the gas phase. These widely used approaches in air quality models for secondary aerosol composition and growth based on separated inorganic and organic processes are inadequate. This review summarizes some of the important developments during the past two decades in understanding of gas aerosol mass transfer processes. Substantial increases in computer performance in the last decade justify increasing the process detail in aerosol models. Organics play a central role during post-nucleation growth into the accumulation mode and change the hygroscopic properties of sulfate aerosol. At present, combined inorganic-organic aerosol thermodynamics models are too computationally expensive to be used online in 3-D simulations without high levels of aggregation of organics into a small number of functional surrogates. However, there has been progress in simplified modeling of liquid-liquid phase separation (LLPS) and distinct chemical regimes within organic-rich and inorganic-rich phases. Additional limitations of commonly used thermodynamics models are related to lack of surface tension data for various aerosol compositions in the small size limit, and lack of a comprehensive representation of surface interaction terms such as disjoining pressure in the Gibbs free energy which become significant in the small size limit and which affect both chemical composition and particle growth. As a result, there are significant errors in modeling of hygroscopic growth and phase transitions for particles in the nucleation and Aitken modes. There is also increasing evidence of reduced bulk diffusivity in viscous organic particles and, therefore, traditional secondary organic aerosol models, which are typically based on the assumption of instantaneous equilibrium gas-particle partitioning and neglect the kinetic effects, are no longer tenable.
Highlights
Aerosols have substantial impacts on the radiative balance of the atmosphere both directly and indirectly via their influence on cloud composition and evolution [1]
− 4Mwσsol RT ρw Dwet where the second term on the right hand side is the Kelvin term which depends on σsol (J m−2), the surface tension of the solution, ρw, the density of water, Dwet the diameter of the aerosol solution droplet, R (J mol−1 K−1), the ideal gas constant, and the temperature, T (K). This system is solved for νi by assuming that σsol and ρw are pure water constants (Rose et al [150]) and using a root-finding method such as bisection. This formulation is evaluated by Metzger et al [151] using the Equilibrium Simplified Aerosol Model (EQSAM) Version 4 (EQSAM4) which is compared to EQUISOLV II, ISORROPIA II and a reference model, the Aerosol Inorganic Model (AIM) [152], for various cases
Thermodynamics models for inorganic chemical species that can be implemented in 3-D models have improved in terms of accuracy and numerical performance [76]
Summary
Aerosols have substantial impacts on the radiative balance of the atmosphere both directly and indirectly via their influence on cloud composition and evolution [1]. Accurate simulation of gas-aerosol mass transfer in models requires proper representation of aerosol physicochemical characteristics This involves at least three degrees of freedom: size, mixing state (representing the chemical composition) and morphology (representing the physical distribution of the chemical components), in line with the recent review by Riemer et al [12]. The physicochemical properties of aerosols such as pure liquid vapor pressure, surface tension, particle diffusivity and mass accommodation coefficient are important sources of uncertainties in thermodynamics models.
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